Industry related to digital contents is growing rapidly and attracts public attention as industry that makes high value added. Digital reflex contents industry and computer graphics technique are the core technique. This technique is applied to various fields of blockbuster movie, game, educational contents, simulation and so on, we research the movement of each object that consists of contents an...
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Early detection of financial risks can help credit grantors and institutions to establish appropriate policies for credit products, reduce losses and increase revenue. In recent years, the application of data mining techniques, such as classification and clustering, in financial risk detection has drawn interest from academic researchers and industry practitioners. The performance of classificatio...
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According as software industry helps the competitiveness of other industries to reinforce, it is important to evaluate software firms from a competitive perspective. So this study presents an improved evaluation framework for evaluating the competitiveness of software firms. And the evaluation framework presented on this study will be tested on its effectiveness by conducting a case study on softw...
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With the development of Web services and service-oriented architecture (SOA), Web services has become the primary method to implement geospatial information sharing and interoperability, besides, geospatial information processing modeling basing on Web service compositions is one of the research hotspots. The data-centered procedure of geospatial information processing describes the steps of data ...
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When a table containing personal information is published, sensitive information should not be revealed. Although k-anonymity and l-diversity models are popular approaches to protect privacy, they are limited to one time data publishing. After a dataset is updated with insertions and deletions, a data holder cannot safely release up-to-date information. Recently, m-invariance model has been propos...
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Software repositories contain an enormous amount of information regarding the evolution of any large software system. In our experiments we choose the dataset of the freely available Mozilla CVS repository. We downloaded 9552 program files (C++), extracted the CVS log data, and extracted the Mozilla bugs information from the Bugzilla database. From these sources we extracted the program file chang...
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Many new-style medical treatment systems have been developed. Due to employing various incompatible methods respectively, the most of existing medical systems lack abilities to collaborate with each other. To break the technical barriers and build an open and collaborative medical treatment system, a distributed model, named DM4MTS is represented in this paper. Combining multiple techniques, such ...
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In recent years, multi-criteria optimization (MCO) community has made noticeable progress in the area of data mining and knowledge discovery. While most research effort is devoted to developing models and algorithms to "mine" data, not enough attention has been paid to the "knowledge discovery" aspect. Real-world data mining problems are complex and require close collaboration between data miners ...
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Fuzzy time series models has been applied to forecast various problems and have been shown to forecast better than other models. In this article, we intend to apply Chou and Lee's fuzzy time series model to forecast the Baltic Dry Index (BDI) index for the next month. The root mean square error is one criteria to evaluate the forecasting performance. Empirical results show that the fuzzy time seri...
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Many data mining algorithms are not capable of working effectively with very large stream data sets. Today's, organizations are building massive amounts of Internet-related stream data they collect, process, and store. Organizations want to mine effectively large stream data sets. But existing data mining algorithms have many critical problems. Storage management, increased run time, complexity of...
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Human Computer Interaction (HCI) is a discipline in which we emphasize users as well as technology in the design process. Our future home called Smart Home (SH) became one of interesting topics for HCI researchers. While HCI community has performed studies on it, they were done by a more specific and dispersed way. Due to this, a problem occurred that it is difficult to grasp a general understandi...
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Dividend is one of essential factors determining the value of a firm. According to the valuation theory in finance, discounted cash flow (DCF) is the most popular and widely used method for the valuation of any asset. Since dividends play a key role in the pricing of a firm value by DCF, it is natural that the accurate prediction of future dividends should be most important work in the valuation. ...
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A medical information management system (MIMS) is developed using the semantic Web technologies for medical data management in the development of a diagnosis method of dementia. This system manages metadata that are extracted from the medical data files automatically or are created by researchers. One of the characteristics of the data set of MIMS is that some of the data items are changed occasio...
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The existing modeling methods for Web service composition are not suitable for modeling Web service composition on the business layer. A novel concept model, called DWSCCM, for Web service composition on the business layer are represented in this paper. The initial experiments based on DWSCCM model show that this model is feasible and efficient.
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Traditionally, the proposed perceptual hashing algorithms are mainly focused on the feature extraction and coding stages. But they only concerned parts of perception information, and take a certain type of features to obtain codes, which makes them to be biased on resisting some varieties of attacks. On the other hand, HVS (Human Visual System) as one of best methods simulating the image cognitive...
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In the past decade many new methods were proposed for combining multiple classifiers. Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. We propose a GA-based method for constructing a neural network ensemble using a weighted vote-based classifier selection approach. Main presumption of this method is that the reliability of the predictio...
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